Computational model of depth perception based on fixational eye movements

Norio Tagawa; Todorka Alexandrova

Computational model of depth perception based on fixational eye movements

Norio Tagawa^*, Todorka Alexandrova

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The small vibration of the eye ball, which occurs when we fix our gaze on an object, is called "fixational eye movement." It has been reported that this function works also as a clue to monocular depth perception. Moreover, researches for a depth recovery method using camera motions based on an analogy of fixational eye movement are in progress. We suppose that depth perception with fixational eye movement is firstly carried out, and subsequently such depth information is supplementary used for binocular stereopsis. Especially in this study, using camera motions corresponding to the smallest type of fixational eye movement called "tremor," we construct depth perception algorithm which models camera motion as a irregular perturbation, and confirm its effectiveness.

Original language	English
Title of host publication	VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages	328-333
Number of pages	6
Volume	1
Publication status	Published - 2010
Externally published	Yes
Event	5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 - Angers Duration: 2010 May 17 → 2010 May 21

Other

Other	5th International Conference on Computer Vision Theory and Applications, VISAPP 2010
City	Angers
Period	10/5/17 → 10/5/21

Keywords

Bayesian estimation
Depth perception
EM algorithm
Fixational eye movement
Structure from motion

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Computer Vision and Pattern Recognition

Cite this

@inproceedings{949bca6e1b934914b1f1b793b04cd421,

title = "Computational model of depth perception based on fixational eye movements",

abstract = "The small vibration of the eye ball, which occurs when we fix our gaze on an object, is called {"}fixational eye movement.{"} It has been reported that this function works also as a clue to monocular depth perception. Moreover, researches for a depth recovery method using camera motions based on an analogy of fixational eye movement are in progress. We suppose that depth perception with fixational eye movement is firstly carried out, and subsequently such depth information is supplementary used for binocular stereopsis. Especially in this study, using camera motions corresponding to the smallest type of fixational eye movement called {"}tremor,{"} we construct depth perception algorithm which models camera motion as a irregular perturbation, and confirm its effectiveness.",

keywords = "Bayesian estimation, Depth perception, EM algorithm, Fixational eye movement, Structure from motion",

author = "Norio Tagawa and Todorka Alexandrova",

year = "2010",

language = "English",

isbn = "9789896740283",

volume = "1",

pages = "328--333",

booktitle = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications",

note = "5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 ; Conference date: 17-05-2010 Through 21-05-2010",

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TY - GEN

T1 - Computational model of depth perception based on fixational eye movements

AU - Tagawa, Norio

AU - Alexandrova, Todorka

PY - 2010

Y1 - 2010

N2 - The small vibration of the eye ball, which occurs when we fix our gaze on an object, is called "fixational eye movement." It has been reported that this function works also as a clue to monocular depth perception. Moreover, researches for a depth recovery method using camera motions based on an analogy of fixational eye movement are in progress. We suppose that depth perception with fixational eye movement is firstly carried out, and subsequently such depth information is supplementary used for binocular stereopsis. Especially in this study, using camera motions corresponding to the smallest type of fixational eye movement called "tremor," we construct depth perception algorithm which models camera motion as a irregular perturbation, and confirm its effectiveness.

AB - The small vibration of the eye ball, which occurs when we fix our gaze on an object, is called "fixational eye movement." It has been reported that this function works also as a clue to monocular depth perception. Moreover, researches for a depth recovery method using camera motions based on an analogy of fixational eye movement are in progress. We suppose that depth perception with fixational eye movement is firstly carried out, and subsequently such depth information is supplementary used for binocular stereopsis. Especially in this study, using camera motions corresponding to the smallest type of fixational eye movement called "tremor," we construct depth perception algorithm which models camera motion as a irregular perturbation, and confirm its effectiveness.

KW - Bayesian estimation

KW - Depth perception

KW - EM algorithm

KW - Fixational eye movement

KW - Structure from motion

UR - http://www.scopus.com/inward/record.url?scp=77956298759&partnerID=8YFLogxK

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M3 - Conference contribution

AN - SCOPUS:77956298759

SN - 9789896740283

VL - 1

SP - 328

EP - 333

BT - VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications

T2 - 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010

Y2 - 17 May 2010 through 21 May 2010

ER -

Computational model of depth perception based on fixational eye movements

Abstract

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Keywords

ASJC Scopus subject areas

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